@article{hashmi_arbitrage_2020,

title = {Arbitrage with Power Factor Correction Using Energy Storage},

author = {Md Umar Hashmi and Deepjyoti Deka and Ana Busic and Lucas Pereira and Scott Backhaus},

doi = {10/ggjwcx},

issn = {0885-8950, 1558-0679},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-30},

journal = {IEEE Transactions on Power Systems},

pages = {1–1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{morgadodias_editorial_2020,

title = {Editorial - Energy and Sustainability in Small Developing Economies 19 - Selected Papers},

author = {Fernando Morgado-Dias and Lucas Pereira and Herlander Mata-Lima},

year  = {2020},

date = {2020-01-01},

urldate = {2023-09-12},

journal = {Greenhouse Gases: Science and Technology},

volume = {10},

number = {6},

pages = {1117–1117},

publisher = {Blackwell Publishing},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pereira_economic_2020,

title = {Economic Assessment of Solar-Powered Residential Battery Energy Storage Systems: The Case of Madeira Island, Portugal},

author = {Lucas Pereira and Jonathan Cavaleiro and Luísa Barros},

doi = {10.3390/app10207366},

year  = {2020},

date = {2020-01-01},

urldate = {2020-10-30},

journal = {Applied Sciences},

volume = {10},

number = {20},

pages = {7366},

publisher = {Multidisciplinary Digital Publishing Institute},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pereira_empirical_2020,

title = {An Empirical Exploration of Performance Metrics for Event Detection Algorithms in Non-Intrusive Load Monitoring},

author = {Lucas Pereira and Nuno Nunes},

doi = {10.1016/j.scs.2020.102399},

issn = {2210-6707},

year  = {2020},

date = {2020-11-01},

urldate = {2020-08-27},

journal = {Sustainable Cities and Society},

volume = {62},

pages = {102399},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Pereira2019,

title = {Understanding the practical issues of deploying energy monitoring and eco-feedback technology in the wild: Lesson learned from three long-term deployments},

author = {Lucas Pereira and Nuno Nunes},

url = {http://www.sciencedirect.com/science/article/pii/S2352484719302689},

doi = {10.1016/j.egyr.2019.11.025},

issn = {2352-4847},

year  = {2019},

date = {2019-12-25},

journal = {Energy Reports},

volume = {6},

pages = {41-56},

abstract = {This paper reports on the different engineering, social and financial challenges behind the building and deploying electric energy monitoring and eco-feedback technology in real-world scenarios, which despite being relevant to the research community are seldom reported in the literature. The objectives of this paper are two-fold: First, discuss the technical and social constraints of real-world deployments. This includes, for example, hardware and software requirements, and issues related to security and intrusiveness of the monitoring solutions. Second, identify and understand the costs associated with developing and deploying such systems. These include hardware costs and consumed energy. To this end, we rely on over five years of experience developing and improving a non-intrusive energy monitoring research platform to enable the deployment of long and short-term studies of eco-feedback technology. During this time, two versions of that platform were deployed in 50 homes for periods that lasted between 6 and 18 consecutive months. By iteratively developing and deploying our sensing and eco-feedback infrastructures, we managed to build upon previous findings and lessons learned to understand how to create, deploy, and maintain such systems. Concurrently, we gained insights regarding what are some of the most relevant costs associated with running such experiments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/data/PereiraVP19,

title = {dsCleaner: A Python Library to Clean, Preprocess and Convert Non-Instrusive 

 Load Monitoring Datasets},

author = {Manuel Pereira and Nuno Velosa and Lucas Pereira},

year  = {2019},

date = {2019-01-01},

journal = {Data},

volume = {4},

number = {3},

pages = {123},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/data/Pereira19,

title = {NILMPEds: A Performance Evaluation Dataset for Event Detection Algorithms 

 in Non-Intrusive Load Monitoring},

author = {Lucas Pereira},

year  = {2019},

date = {2019-01-01},

journal = {Data},

volume = {4},

number = {3},

pages = {127},

keywords = {},

pubstate = {published},

tppubtype = {article}

}